polycor: Polychoric and Polyserial Correlations

Computes polychoric and polyserial correlations by quick "two-step" methods or ML, optionally with standard errors; tetrachoric and biserial correlations are special cases.

Version: 0.8-1
Depends: R (≥ 3.3.0)
Imports: stats, mvtnorm, Matrix, parallel, admisc (≥ 0.22)
Published: 2022-01-11
DOI: 10.32614/CRAN.package.polycor
Author: John Fox [aut, cre], Adrian Dusa [ctb]
Maintainer: John Fox <jfox at mcmaster.ca>
License: GPL-2 | GPL-3 [expanded from: GPL (≥ 2)]
URL: https://r-forge.r-project.org/projects/polycor/, https://CRAN.R-project.org/package=polycor
NeedsCompilation: no
Materials: NEWS
In views: Psychometrics
CRAN checks: polycor results


Reference manual: polycor.pdf


Package source: polycor_0.8-1.tar.gz
Windows binaries: r-devel: polycor_0.8-1.zip, r-release: polycor_0.8-1.zip, r-oldrel: polycor_0.8-1.zip
macOS binaries: r-release (arm64): polycor_0.8-1.tgz, r-oldrel (arm64): polycor_0.8-1.tgz, r-release (x86_64): polycor_0.8-1.tgz, r-oldrel (x86_64): polycor_0.8-1.tgz
Old sources: polycor archive

Reverse dependencies:

Reverse depends: DandEFA, itemanalysis, ltm
Reverse imports: CausalGPS, CCTpack, CDM, corrmeta, cSEM, EFA.dimensions, FactorCopula, lsasim, MCCM, MultBiplotR, radiant.basics, radiant.design, radiant.multivariate, RSP, stablespec, TDCM, umx, whomds
Reverse suggests: aspect, BFpack, correlation, lava, sem, sgr
Reverse enhances: sfsmisc


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